EP4138173A4 - Remaining capacity estimation device, model generation device, remaining capacity estimation method, model generation method, and program - Google Patents

Remaining capacity estimation device, model generation device, remaining capacity estimation method, model generation method, and program Download PDF

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Publication number
EP4138173A4
EP4138173A4 EP21788850.2A EP21788850A EP4138173A4 EP 4138173 A4 EP4138173 A4 EP 4138173A4 EP 21788850 A EP21788850 A EP 21788850A EP 4138173 A4 EP4138173 A4 EP 4138173A4
Authority
EP
European Patent Office
Prior art keywords
remaining capacity
model generation
capacity estimation
program
generation device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP21788850.2A
Other languages
German (de)
English (en)
French (fr)
Other versions
EP4138173A1 (en
Inventor
Hidenori Shimawaki
Jiuting Chen
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
AESC Japan Ltd
Original Assignee
Envision AESC Japan Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Envision AESC Japan Ltd filed Critical Envision AESC Japan Ltd
Publication of EP4138173A1 publication Critical patent/EP4138173A1/en
Publication of EP4138173A4 publication Critical patent/EP4138173A4/en
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • G01R31/387—Determining ampere-hour charge capacity or SoC
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries
    • H02J7/80—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries including monitoring or indicating arrangements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/3644—Constructional arrangements
    • G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries
    • H02J7/80—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries including monitoring or indicating arrangements
    • H02J7/82—Control of state of charge [SOC]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Power Engineering (AREA)
  • Theoretical Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Secondary Cells (AREA)
  • Tests Of Electric Status Of Batteries (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
EP21788850.2A 2020-04-17 2021-04-12 Remaining capacity estimation device, model generation device, remaining capacity estimation method, model generation method, and program Withdrawn EP4138173A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020073844A JP2021170511A (ja) 2020-04-17 2020-04-17 残容量推定装置、モデル生成装置、残容量推定方法、モデル生成方法、及びプログラム
PCT/JP2021/015145 WO2021210526A1 (ja) 2020-04-17 2021-04-12 残容量推定装置、モデル生成装置、残容量推定方法、モデル生成方法、及びプログラム

Publications (2)

Publication Number Publication Date
EP4138173A1 EP4138173A1 (en) 2023-02-22
EP4138173A4 true EP4138173A4 (en) 2023-10-04

Family

ID=78084785

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21788850.2A Withdrawn EP4138173A4 (en) 2020-04-17 2021-04-12 Remaining capacity estimation device, model generation device, remaining capacity estimation method, model generation method, and program

Country Status (5)

Country Link
US (1) US12443152B2 (https=)
EP (1) EP4138173A4 (https=)
JP (1) JP2021170511A (https=)
CN (1) CN115443573A (https=)
WO (1) WO2021210526A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024105837A1 (ja) * 2022-11-17 2024-05-23 恒林日本株式会社 機械学習モデル生成装置、及び蓄電池の特性値算出装置

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010048759A (ja) * 2008-08-25 2010-03-04 Nippon Telegr & Teleph Corp <Ntt> 残容量推定方法および残容量推定装置
US20160202324A1 (en) * 2013-09-11 2016-07-14 Commissariat A L'energie Ato Mique Et Aux Energies Alternatives Method, device and system for estimating the charge state of a battery
US20180095140A1 (en) * 2016-10-05 2018-04-05 Samsung Electronics Co., Ltd. Battery state estimation apparatus and method
WO2019017991A1 (en) * 2017-07-21 2019-01-24 Quantumscape Corporation PREDICTIVE MODEL FOR ESTIMATING BATTERY CONDITIONS
US20190157891A1 (en) * 2017-11-20 2019-05-23 The Trustees Of Columbia University In The City Of New York Neural-network state-of-charge estimation

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5366166B2 (ja) 2006-02-09 2013-12-11 株式会社デンソー 二次電池の状態量演算方式
JP2008232758A (ja) 2007-03-19 2008-10-02 Nippon Soken Inc 二次電池の内部状態検出装置及びニューラルネット式状態量推定装置
KR101617167B1 (ko) 2015-08-12 2016-05-03 한국수력원자력 주식회사 측면 배출게이트가 구비된 플라즈마 용융로
JP2019004388A (ja) * 2017-06-16 2019-01-10 株式会社半導体エネルギー研究所 情報処理装置、及び表示方法
CN111868539A (zh) 2018-03-20 2020-10-30 株式会社杰士汤浅国际 劣化估计装置、计算机程序以及劣化估计方法
US11243262B2 (en) 2018-03-20 2022-02-08 Gs Yuasa International Ltd. Degradation estimation apparatus, computer program, and degradation estimation method
TWI682325B (zh) * 2018-11-20 2020-01-11 新唐科技股份有限公司 辨識系統及辨識方法
CN111220921A (zh) * 2020-01-08 2020-06-02 重庆邮电大学 基于改进卷积-长短时记忆神经网络的锂电池容量估算方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010048759A (ja) * 2008-08-25 2010-03-04 Nippon Telegr & Teleph Corp <Ntt> 残容量推定方法および残容量推定装置
US20160202324A1 (en) * 2013-09-11 2016-07-14 Commissariat A L'energie Ato Mique Et Aux Energies Alternatives Method, device and system for estimating the charge state of a battery
US20180095140A1 (en) * 2016-10-05 2018-04-05 Samsung Electronics Co., Ltd. Battery state estimation apparatus and method
WO2019017991A1 (en) * 2017-07-21 2019-01-24 Quantumscape Corporation PREDICTIVE MODEL FOR ESTIMATING BATTERY CONDITIONS
US20190157891A1 (en) * 2017-11-20 2019-05-23 The Trustees Of Columbia University In The City Of New York Neural-network state-of-charge estimation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of WO2021210526A1 *

Also Published As

Publication number Publication date
WO2021210526A1 (ja) 2021-10-21
JP2021170511A (ja) 2021-10-28
US20230221683A1 (en) 2023-07-13
US12443152B2 (en) 2025-10-14
EP4138173A1 (en) 2023-02-22
CN115443573A (zh) 2022-12-06

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